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Research Data Management

Guidance on research data management planning, creating data management plans (DMPs), and other resources

Data Citation Resources

Other Universities' guides 

Other Resources

FSU Academic Integrity

The University aspires to excellence in its core activities of teaching, research, creative expression, and public service and is committed to the integrity of the academic process. The Academic Honor Policy is a specific manifestation of this commitment. Truthfulness in one's claims and representations and honesty in one's activities are essential in life and vocation, and the realization of truthfulness and honesty is an intrinsic part of the educational process. For more information on Academic Integrity visit FSU's office of research or the Registrar's bulletin on academic integrity.

Important Components of a Dataset Citation

If data that is not your own personal research data, then it must be cited. Data should be cited within a publication just as other literature are cited. Use the appropriate format based on the style you're using (eg. APA, Chicago, Turabian, etc.). Important elements of a citation includes the following:

  • Author (creator of the dataset)
  • Title of dataset 
  • Publication date of dataset
  • Publisher (Name of repository)
  • Date accessed
  • Version number (if more than one)
  • Location (URL/DOI to access dataset)
  • Universal, persistent Identifier (PID)
  • Some way to resolve the PID (DOIs and ARKs both have resolution services)

For more in depth citation style help visit guides listed on the right.

Citation Styles

Below are the three most common Citation styles. If another style is needed contact your Data Librarian for assistance.

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